The Alan Turing Institute is seeking a Research Associate/Senior Research Associate, Computational Social Science within their AI for Science and Government Directorate.

We are looking to recruit a Postdoctoral Research Associate to work as part of the wider shocks and resilience team to derive general principles concerning the stability/resilience of complex, interconnected socio-economic systems.

The successful candidate will use computational techniques to examine the dynamics of social media activity, particularly the spread of disinformation and other harmful content online. We are interested in understanding how information and disinformation spread online, and how their diffusion relates to rapid scaling up of online activity, or lurches of opinion regarding (for example) the safety of vaccines or resistance to policy interventions such as lock-downs and closures.

We are particularly interested in hearing from candidates with experience in computational social science methodologies, including (but not limited to) collecting and processing large scale social media datasets, using statistical models to analyse data, network science, unsupervised machine learning as well as other techniques for analysing indicators of online activity and information spread. These computational methodologies will be applied to a number of case studies which we are developing in partnership with policymakers, tackling specific policy questions that arise as a result of the Covid-19 crisis and beyond.

This full-time post is offered on a fixed-term basis until 31 March 2023.

Please find below a link to the advert, job description and application form.

https://cezanneondemand.intervieweb.it/turing/jobs/research_associate_computational_social_science_18973/en/

Closing date: 14 January 2022
Should you have any queries, please email recruitment@turing.ac.uk.